Characterizing pseudoperiodic time series through the complex network approach

Physica D: Nonlinear Phenomena

Volumn 237, Issue 22, 2008, Pages 2856-2865

  Zhang, Jie ^a   Sun, Junfeng ^a   Luo, Xiaodong ^b   Zhang, Kai ^c   Nakamura, Tomomichi ^d   Small, Michael ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^d SONY COMPUTER SCIENCE LABORATORIES INC   (Japan)

Author keywords

Chaos; Complex network transformation; Nonlinear time series analysis; Pseudoperiodic signal; Unstable periodic orbits

Indexed keywords

CHAOS THEORY; COMPLEX NETWORKS; DYNAMICS; MATHEMATICAL TRANSFORMATIONS; PERIODIC STRUCTURES; PHASE SPACE METHODS; STOCHASTIC SYSTEMS; TIME DOMAIN ANALYSIS; TIME SERIES;

ASSORTATIVITY COEFFICIENT; COMPLEX NETWORK APPROACHES; NETWORK TRANSFORMATION; NONLINEAR TIME-SERIES ANALYSIS; PSEUDO-PERIODIC SIGNALS; PSEUDOPERIODIC TIME SERIES; STATISTICAL CHARACTERIZATION; UNSTABLE PERIODIC ORBITS;

TIME SERIES ANALYSIS;

EID: 53249147479     PISSN: 01672789     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physd.2008.05.008     Document Type: Article

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